Express MongoDB Mongoose Query Fundamentals

Prepare your development environment for building APIs with Express and MongoDB, using Visual Studio Code, linting with Prettier, and Docker to run MongoDB and Express containers.

Learn to install Visual Studio Code on Windows, Mac, or Linux, start and manage projects, and customize editing with terminals, explorer tabs, autosave, and extensions.

linting analyzes code as you type to catch errors and enforce style, boosting maintainability and collaboration; formatting with prettier in vscode and project settings ensures consistent, readable code on save.

Explore Docker for development, learning how images become containers, and how volumes persist data across restarts. Discover how Docker Desktop and Docker Hub enable consistent, isolated, portable, and efficient development.

Install Docker Desktop to manage containers, images, and volumes for a MongoDB and Express API project, using Docker Compose and the Docker Hub for a consistent development environment.

Set up a MongoDB container with Docker using docker-compose, configure initial user and database, map port 27017 for local access, and run the container for course work.

Run an express.js app in a docker container with a customized node image, integrating mongoose for MongoDB. Orchestrate with docker compose and expose the app on port 3000.

Use nodemon to automatically restart the express server on code changes during development, by configuring npm scripts and running npm run dev inside docker for live updates.

Develop the skills to define and manage Mongoose schemas to structure a MongoDB database, applying constraints, validation, middleware, relationships, and performance optimizations like indexes and capped collections.

Explore how NoSQL MongoDB uses databases, collections, documents, and fields in a schema-flexible, document-based structure with BSON/JSON, and compare it to SQL databases.

Mongoose simplifies working with MongoDB in a Node.js app by acting as an ODM between your code and MongoDB. It defines schemas to validate and map data to JavaScript objects.

Explore visualizing and modeling NoSQL databases using ER diagrams, JSON schemas, and specialized tools. Apply these models to design Mongo schemas with Mongoose, noting entities, documents, collections, and cross-collection references.

Define collections with Mongoose schemas by importing Mongoose, creating a category schema as a blueprint for documents, and export category model; outline schemas for brand, product, promotion, order, and user.

Explore the core mongoose data types—strings, numbers, booleans, and dates—and how schemas validate and structure data in MongoDB. See category names and slugs, product prices and stock, and createdat timestamps.

Learn to use mongoose field options: required, optional, and default, to enforce data integrity with date fields, min and max constraints, validate logic, and immutable behavior.

Enforce field uniqueness with mongoose's unique option, creating a database-level unique index in MongoDB to prevent duplicates, and understand index performance versus app-level validation, e.g., emails or usernames.

Apply the trim option in mongoose to automatically remove leading and trailing spaces from string fields, keeping user input clean, reducing duplicates, and improving search accuracy in MongoDB.

Learn how to use enums in Mongoose to restrict fields to accepted values like pending, shipped, or cancelled, with defaults or required rules for statuses and roles.

Learn how MongoDB’s ObjectId functions as the default 12-byte primary key, providing a unique _id through timestamp, random value, and counter, and why automatic generation boosts performance.

Establish relationships in MongoDB with object ID references to link products to brands and categories, and compare embedding versus references for efficient queries.

Learn the tradeoffs between embedding related data and using document references in MongoDB with Mongoose, including when to embed versus reference and how this affects duplication and updates.

Review the final Mongoose schema from the entity relationship diagram, detailing category and brand collections, one-to-many links to products, embedded order subdocuments, and many-to-many promotions.

Explore advanced mongoose validation functions to enforce data integrity and formatting, with custom validators for name length and url-friendly slug, using regex and field constraints.

Apply Mongoose middleware to add validation and pre/post hooks, executing code before saving, updating, or removing documents. Implement pre save and post save hooks, with next callbacks and error handling.

Learn to interact with the database using Node, Express, MongoDB, and Mongoose, performing create, update, and delete operations, building endpoints, documenting APIs with Swagger UI, and using MongoDB Compass.

Map http methods get, post, put, and delete to read, create, update, and delete actions in RESTful APIs, and connect client requests to Express endpoints.

Build your first api endpoint in Express to insert data into a MongoDB database using Mongoose, with route creation, request handling, validation, and proper http status codes.

Explore how a client request travels through Express and middleware to route, validate data, and insert into MongoDB via Mongoose, then returns a final response with error handling.

Use the official graphical user interface, MongoDB Compass, to visually explore and manage your database, connect locally or in the cloud, and build queries without the shell.

Learn to create clear interactive API documentation with Swagger UI using OpenAPI specs, render the docs in the browser, and test endpoints directly from the interface.

Explore bulk inserts in mongoose, using insert many for simple multi-document adds and bulk write for mixed operations, with validation and clear responses for created records.

Update a single document in Mongoose via an Express API, comparing updateOne and findOneAndUpdate, with route parameters, validation, upsert, and returning the updated record.

Choose update or replace for MongoDB documents with mongoose in an express app. Learn when to use partial updates versus full document replacement.

Learn to perform bulk updates in MongoDB with mongoose in an express app, using update many and bulk write for efficient, batched document changes.

Target records precisely with specific filters to prevent accidental data loss. Confirm intent and limit scope when deleting, using delete one and delete many in a Mongoose and Express setup.

Learn to perform bulk deletions in MongoDB using delete many with mongoose and Express. Validate query parameters, handle responses with delete count, and safely target active categories.

Master how Mongoose bulkWrite batches insert, update, and delete operations into a single call for performance, using operation objects with ordered or unordered execution and robust result and error reporting.

Explore how to handle queries, URL parameters, and post bodies in an Express API with Mongoose, validate object IDs, and build clean RESTful endpoints for categories.

Explore querying data in MongoDB with Mongoose, mastering retrieval, manipulation, and techniques from simple lookups to pagination and indexing, plus seeding and automating initial data in a Docker container.

Learn to seed and automate your MongoDB data with mongoose and JSON fixtures, from export to bulk insert, ensuring consistent object IDs for reliable queries.

Retrieve a single document from MongoDB with Mongoose using find by id and find one. Explore lean and populate options to return related data and optimize read performance.

Discover how to retrieve multiple documents with mongoose find in an express app, returning all by default and supporting conditions, projection, options, and a callback.

Project specific fields in Mongoose queries to reduce data returned and improve performance. Learn include vs exclude, handle nested fields with dot notation, and apply field projection to find results.

Master sorting query results in mongoose with the sort method, ordering by field names ascending or descending, including multi-field and nested sorts, with notes on case sensitivity.

Master pagination with mongoose by using limit and skip to display a subset of documents per page. Calculate skip as (page-1)*limit and return total documents to support UI pagination.

Compare count documents and estimated document count in mongoose to achieve exact counts with filters or fast estimates using collection metadata for efficient express app pagination.

Learn to filter data in MongoDB with comparison, logical, and evaluation operators to build precise queries for values, ranges, embedded fields, arrays, and complex combinations, focusing on performance.

Learn to filter MongoDB documents with Mongoose and Express using comparison operators such as eq, ne, gt, gte, lt, lte, and in to match prices, stock, and category object IDs.

Learn to use MongoDB logical operators (and, or, not, nor) to build complex queries by combining conditions like price and stock.

Filter MongoDB documents by field existence and type using the exists and type operators to ensure data presence and correct data types for reliable queries.

Learn to filter MongoDB documents by array fields using the $all, $elemMatch, and $size operators, with practical examples on tags, discounts in orders, and item-level conditions.

Master querying related documents in MongoDB, including arrays, embedded documents, and references between collections, for scalable, efficient data retrieval across one to one and one to many relationships.

Learn to query and filter an array field in MongoDB documents (list of values) using mongoose in an express app, including all and or operators to match multiple values.

explore querying and filtering embedded objects with dot notation, using address.country to return users by country in an endpoint, with capitalized country codes and schema updates.

Query and filter an array of embedded documents in MongoDB with mongoose using the element match operator to enforce multiple conditions on an array element, such as quantity and price.

Learn to use Mongoose populate to load referenced documents across collections, turning product category, brand, and promotions into full data, and to perform nested population in orders.

Filter populated results in Mongoose by using the match option inside populate to return only active categories and relevant fields, with non-matching nested data returning null.

Explore aggregation and grouping in MongoDB using aggregation pipelines, and apply operators like group, match, sum, average, min, and max to manipulate and analyze documents for insights.

Use MongoDB's aggregation framework to sum product prices and compute the total price with a group stage and the sum operator, returning both total price and product count.

Calculate the average price across all products using the MongoDB aggregation pipeline in an express app with mongoose, illustrating stages that filter, group, and transform data.

Group documents by category using MongoDB's aggregation with the $group stage in a Mongoose and Express.js setup, computing average price and total counts per category.

Learn how to enrich aggregated data with MongoDB's $lookup by joining collections to reveal category name, slug, and average prices. Use group, unwind, and project to shape context.

Use the $match stage to filter documents early in the aggregation pipeline for performance, and adapt matching after grouping for computed fields, including converting strings to ObjectId for category queries.

Explore how MongoDB min and max operators update fields conditionally and compute per-group extremes in aggregation, including category price and promotion discounts, with array unwinding for max order quantities.